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args: ['--ignore-regex="(\b[A-Z]+\b)"', '--ignore-words-list=fom,appartment,bage,ore,setis,tabacco,berfore,vor,pris,bund,GuD,Dezember,Juni,Juli,Produktion,WorstCase'] # Ignore capital case words, e.g. country codes
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args: ['--ignore-regex="(\b[A-Z]+\b)"', '--ignore-words-list=fom,appartment,bage,ore,setis,tabacco,berfore,vor,pris,bund,ons,GuD,Dezember,Juni,Juli,Produktion,WorstCase'] # Ignore capital case words, e.g. country codes
# PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
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PyPSA-Eur is an open model dataset of the European energy system at the
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transmission network level that covers the full ENTSO-E area. The model is suitable both for operational studies and generation and transmission expansion planning studies.
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The continental scope and highly resolved spatial scale enables a proper description of the long-range
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smoothing effects for renewable power generation and their varying resource availability.
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transmission network level that covers the full ENTSO-E area and all energy sectors, including transport, heating, biomass, industry, and agriculture.
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Besides the power grid, pipeline networks for gas, hydrogen, carbon dioxide, and liquid fuels are included.
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The model is suitable both for planning studies and operational studies.
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The model is built from open data using a Snakemake workflow and fully open source.
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It is designed to be imported into the open-source energy system modelling framework [PyPSA](www.pypsa.org).
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The model is described in the [documentation](https://pypsa-eur.readthedocs.io)
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and in the paper
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> Institute of Technology](http://www.kit.edu/english/index.php) funded by the
- Renewable time series based on ERA5 and SARAH, assembled using the [atlite tool](https://github.com/PyPSA/atlite).
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- Geographical potentials for wind and solar generators based on land use (CORINE) and excluding nature reserves (Natura2000) are computed with the [atlite library](https://github.com/PyPSA/atlite).
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- Electrical demand time series from the [ENTSO-E Transparency Platform](https://transparency.entsoe.eu/).
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- Renewable time series based on ERA5 and SARAH-3, assembled using [atlite](https://github.com/PyPSA/atlite).
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- Geographical potentials for wind and solar generators based land eligibility analysis in [atlite](https://github.com/PyPSA/atlite).
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- Energy balances compiled from Eurostat and JRC-IDEES datasets.
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The high-voltage grid and the power plant fleet are shown in this map of the unclustered model (as of 1 January 2026):
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A sector-coupled extension adds demand
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and supply for the following sectors: transport, space and water
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heating, biomass, industry and industrial feedstocks, agriculture,
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forestry and fishing. This completes the energy system and includes
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all greenhouse gas emitters except waste management and land use.
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For computational reasons the model is usually clustered down
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to 50-250 nodes. The image below shows the electricity network and power plants clustered to NUTS2 regions:
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This diagram gives an overview of the sectors and the links between
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them:
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them within each model region:
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Each of these sectors is built up on the transmission network nodes
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from [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur):
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